4 projects tagged "GPGPU"
Updated 18 Aug 2009
Python::OpenCL
| Pop | 61.11 |
|---|---|
| Vit | 1.02 |
Python::OpenCL is an easy-to-use Python wrapper around the OpenCL library, a standard for parallel programming on heterogenous devices including CPUs, GPUs, and others processors.
Updated 15 Feb 2011
Pyrit
| Pop | 126.65 |
|---|---|
| Vit | 2.60 |
Pyrit takes a step ahead in attacking WPA-PSK and WPA2-PSK, the protocols that protect today's public WiFi-airspace. Pyrit's implementation allows you to create massive databases, pre-computing part of the WPA/WPA2-PSK authentication phase in a space-time-tradeoff. The performance gain for real-world-attacks is in the range of three orders of magnitude, which urges for re-consideration of the protocol's security. It exploits the computational power of multiple cores and other platforms through ATI-Stream, Nvidia CUDA, OpenCL, and VIA Padlock. It is a powerful attack against one of the world's most used security-protocols.
Updated 05 Sep 2012
GPUMarkerTracker
| Pop | 32.68 |
|---|---|
| Vit | 1.46 |
GPUMarkerTracker is a tracking software library for AR (augmented reality) markers. It utilizes GPGPU for fast and accurate tracking. It is intended for detecting markers from an HD resolution image so that small markers placed far from the camera can be detected. Each marker has a 12-bit payload with 9-bit CRC. The library does not produce false-positive detection errors of markers, practically.
Updated 03 Nov 2012
Wisecracker
| Pop | 51.11 |
|---|---|
| Vit | 1.00 |
Wisecracker is a high performance distributed cryptanalysis framework that leverages GPUs and multiple CPUs. It allows security researchers to write their own cryptanalysis tools that can distribute brute-force cryptanalysis work across multiple systems with multiple multi-core processors and GPUs. Security researchers can also use the sample tools provided out-of-the-box. The differentiating aspect of Wisecracker is that it uses OpenCL and MPI together to distribute the work across multiple systems, each having multiple CPUs and/or GPUs.
